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Point cloud segmentation is an important first step in categorising a raw point cloud data. This step is necessary in order to better manage the data and generate other derivative products, e.g. 3D GI...
DIZI: A Digital Ink Zooming Interface for Document Annotation     Document Annotatio  Zooming Interface       font style='font-size:12px;'> 2016/5/24
Pen computing devices provide a natural interface for annotating documents with freeform digital ink. However, digital ink annotations are usually larger and sloppier than real ink annotations on pa...
Based on the research of the automatic annotation placement in two-dimensional (2D) domain, automatic annotation rules of point feature in the three-dimensional (3D) field are proposed. In this paper,...
Use of relevant geo-information is one of the important issues for performing different tasks and processes in disaster response phase. In order to save time and cost, services could be employed for...
Quality estimation models provide feedback on the quality of machine translated texts. They are usually trained on humanannotated datasets, which are very costly due to its task-specific nature. We in...
This quote/commented critique of Turing's classical paper suggests that Turing meant -- or should have meant -- the robotic version of the Turing Test (and not just the email version). Moreover, any d...
Does there exist a compact set of visual topics in form of keyword clusters capable to represent all images visual content within an acceptable error? In this paper, we answer this question by analyzi...
SIX POINT ONE (3) Annotation of Spoken Chinese     SIX POINT ONE  Annotation  Spoken Chinese       font style='font-size:12px;'> 2013/6/27
Spontaneous speech1,2 and dialectal speech 3,4 are two major issues that af fect the performance of Chinese automatic speech recognition (ASR).
Automatic image annotation, which aims at automatically identifying and then assigning semantic keywords to the meaningful objects in a digital image, is not a very difficult task for human but has...
Content Annotation in the Future Web     Content Annotation  Future Web       font style='font-size:12px;'> 2010/9/25
This paper presentsthe current status, trends and tools of Web resource annotation withinthe context of the Semantic Web, the Web 2.0, and what is known as theWeb 3.0, the fusion of the Semantic Web a...
Cross-media manifold learning for image retrieval & annotation     Cross-media  image retrieval       font style='font-size:12px;'> 2010/12/17
Fusion of visual content with textual information is an effective way for both content-based and keyword-based image retrieval.However, the performance of visual & textual fusion is affected greatly b...
Image Objects and Multi-Scale Features for Annotation Detection     Image Objects  Multi-Scale  Annotation Detection       font style='font-size:12px;'> 2010/12/17
This paper investigates several issues in the problem of detecting handwritten markings, or annotations, on printed documents. One issue is to define the appropriate units over which to perform featur...
Automatic Linguistic Annotation is a promising solution to bridge the semantic gap in content-based image retrieval.However, two crucial issues are not well addressed in state-of-art annotation algori...
This paper investigates several issues in the problem of detecting handwritten markings, or annotations, on printed documents. One issue is to define the appropriate units over which to perform ...
Fusion of visual content with textual information is an effective way for both content-based and keyword-based image retrieval. However, the performance of visual & textual fusion is affected greatly ...

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